Dead-zone logic in autonomic systems
- Submitting institution
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University of Chester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 10034/610776
- Type
- E - Conference contribution
- DOI
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10.1109/EAIS.2014.6867462
- Title of conference / published proceedings
- 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems
- First page
- 1
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- July
- Year of publication
- 2014
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
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- Research group(s)
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- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper addresses an important aspect of trustworthy autonomic computing, achieving dependability through self-stability over time. With autonomic systems, there’s a natural concern of input variables being dynamic and unpredictable. Although policies are carefully and robustly constructed, sensors (data sources) sometimes do inject rogue variables that are capable of thwarting process and policy deliberations. Also, the operating environment itself can have varying volatility, causing a controller to become unstable in some circumstances. Dead-Zone logic, a mechanism to prevent autonomic managers from unnecessary, inefficient and ineffective control brevity, provides a natural and powerful framework for achieving dependable self-management in autonomic systems.
- Author contribution statement
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- Non-English
- No
- English abstract
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